A novel automated cloud-based image datasets for high throughput phenotyping in weed classification
- DOI
- 10.1016/j.dib.2024.111097
- Published
- 2024-12
- Container
- Data in Brief
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2024.111097,
title = {A novel automated cloud-based image datasets for high throughput phenotyping in weed classification},
author = {Sunil G C and Cengiz Koparan and Arjun Upadhyay and Mohammed Raju Ahmed and Yu Zhang and Kirk Howatt and Xin Sun},
year = {2024},
journal = {Data in Brief},
doi = {10.1016/j.dib.2024.111097},
url = {https://doi.org/10.1016/j.dib.2024.111097}
}RIS
TY - JOUR TI - A novel automated cloud-based image datasets for high throughput phenotyping in weed classification AU - Sunil G C AU - Cengiz Koparan AU - Arjun Upadhyay AU - Mohammed Raju Ahmed AU - Yu Zhang AU - Kirk Howatt AU - Xin Sun PY - 2024 JO - Data in Brief DO - 10.1016/j.dib.2024.111097 UR - https://doi.org/10.1016/j.dib.2024.111097 ER -
APA
C, S. G., Koparan, C., Upadhyay, A., Ahmed, M. R., Zhang, Y., Howatt, K., & Sun, X. (2024). A novel automated cloud-based image datasets for high throughput phenotyping in weed classification. Data in Brief. https://doi.org/10.1016/j.dib.2024.111097
Source records
- crossref · retrieved 2026-09-26T20:59:14.952Z